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2020 – today
- 2024
[j39]Ping Xuan
, Jing Gu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Cheng Liu, Tiangang Zhang:
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinform. 40(2) (2024)- [j38]Ying-Ying Liu, Dan-Ping Wang, Jing Gu, Yuan-Fang Fu:
Teaching design and implementation of traffic system simulation course based on a computer virtual reality software under the background of engineering education. Comput. Appl. Eng. Educ. 32(5) (2024) - [j37]Xiaofeng Xie, Jixin Zhang, Yuxuan Luo, Jing Gu, Yunfei Li:
Enterprise credit risk portrait and evaluation from the perspective of the supply chain. Int. Trans. Oper. Res. 31(4): 2765-2795 (2024) - [j36]Yu Zhu, Jing Gu, Zhuoran Zhao, A. W. Edith Chan, Maria F. Mojica, Andrea M. Hujer, Robert A. Bonomo, Shozeb M. Haider:
Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning. J. Chem. Inf. Model. 64(9): 3706-3717 (2024) - [j35]Peng Zhu, Xiangrong Zhang, Xiao Han, Xina Cheng, Jing Gu, Puhua Chen, Licheng Jiao:
Cross-Domain Classification Based on Frequency Component Adaptation for Remote Sensing Images. Remote. Sens. 16(12): 2134 (2024) - [j34]Jing Gu, Xinkai Sun, Jie Feng, Shuyuan Yang, Fang Liu, Licheng Jiao:
Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation. IEEE Trans. Artif. Intell. 5(7): 3393-3407 (2024) - [j33]Zhuo Huang, Qi Zhang, Hao Fan, Song Wu, Chen Yu, Hai Jin, Jun Deng, Jing Gu, Zhimin Tang:
Multi-Grained Trace Collection, Analysis, and Management of Diverse Container Images. IEEE Trans. Computers 73(7): 1698-1710 (2024) - [c36]Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Wang:
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA. ACL (1) 2024: 6845-6863 - [c35]Jing Gu, Guillermo Gallego, Amine Ben Arab:
One-vs-All Semi-Automatic Labeling Tool for Semantic Segmentation in Autonomous Driving. ICRA 2024: 18243-18249 - [i18]Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang:
Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA. CoRR abs/2401.15847 (2024) - [i17]Jing Gu, Dongmian Zou:
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. CoRR abs/2403.04010 (2024) - [i16]Jing Gu, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing. CoRR abs/2404.05717 (2024) - [i15]Mohammad Amin Samadi, Spencer Jaquay, Jing Gu, Nia Nixon:
The AI Collaborator: Bridging Human-AI Interaction in Educational and Professional Settings. CoRR abs/2405.10460 (2024) - [i14]Jing Gu, Yuwei Fang, Ivan Skorokhodov, Peter Wonka, Xinya Du, Sergey Tulyakov, Xin Eric Wang:
VIA: A Spatiotemporal Video Adaptation Framework for Global and Local Video Editing. CoRR abs/2406.12831 (2024) - [i13]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - 2023
- [j32]Jing Gu, Yiqiao Wang, Weifan Wang, Lina Zheng:
Strict neighbor-distinguishing index of K4-minor-free graphs. Discret. Appl. Math. 329: 87-95 (2023) - [j31]Yong Yang, Long Wang, Jing Gu, Ying Li:
Capturing Request Execution Path for Understanding Service Behavior and Detecting Anomalies Without Code Instrumentation. IEEE Trans. Serv. Comput. 16(2): 996-1010 (2023) - [c34]Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang:
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. AAAI 2023: 15621-15629 - [c33]Jing Gu, Yongming Meng, Haoxin Meng:
Deep Learning Approach for Bone Age Assessment Based on Improved TW3 Scoring Method. AIPR 2023: 365-372 - [c32]Haifeng Mei, Wei Zhang, Jing Gu:
The Application of Artificial Intelligence in Geotechnical Investigation. CAIBDA 2023: 263-273 - [c31]Yue Fan, Jing Gu, Kaizhi Zheng, Xin Wang:
R2H: Building Multimodal Navigation Helpers that Respond to Help Requests. EMNLP 2023: 14803-14819 - [c30]Jing Gu, Dongmian Zou:
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks. LoG 2023: 14 - [c29]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
PHOTOSWAP: Personalized Subject Swapping in Images. NeurIPS 2023 - [i12]Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang:
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes. CoRR abs/2303.03640 (2023) - [i11]Yue Fan, Kaizhi Zheng, Jing Gu, Xin Eric Wang:
R2H: Building Multimodal Navigation Helpers that Respond to Help. CoRR abs/2305.14260 (2023) - [i10]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
Photoswap: Personalized Subject Swapping in Images. CoRR abs/2305.18286 (2023) - 2022
- [j30]Jing Gu, Kai Zhang:
Thermodynamics of the Ising Model Encoded in Restricted Boltzmann Machines. Entropy 24(12): 1701 (2022) - [j29]Oliver B. Scott, Jing Gu, A. W. Edith Chan:
Classification of Protein-Binding Sites Using a Spherical Convolutional Neural Network. J. Chem. Inf. Model. 62(22): 5383-5396 (2022) - [j28]Xiaoxiao Ma, Xiangrong Zhang, Ning Huyan, Jing Gu, Xu Tang, Licheng Jiao:
Background Representation Learning With Structural Constraint for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j27]Jie Feng, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao:
Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j26]Yunpeng Li, Xiangrong Zhang, Jing Gu, Chen Li, Xin Wang, Xu Tang, Licheng Jiao:
Recurrent Attention and Semantic Gate for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j25]Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu, Yuanhao Cui:
A Hybrid Network With Structural Constraints for SAR Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c28]Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Wang:
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. ACL (1) 2022: 7606-7623 - [c27]Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang:
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. ICDE 2022: 2762-2775 - [c26]Xinkai Sun, Jing Gu, Jie Feng, Shuyuan Yang, Licheng Jiao:
Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation. IFIP TC12 ICIS 2022: 239-251 - [c25]Bingyu Hui, Jie Feng, Quanhe Yao, Jing Gu, Licheng Jiao:
Tracking Multi-objects with Anchor-Free Siamese Network. IFIP TC12 ICIS 2022: 402-408 - [c24]Qingyang Wu, Zhenzhong Lan, Kun Qian, Jing Gu, Alborz Geramifard, Zhou Yu:
Memformer: A Memory-Augmented Transformer for Sequence Modeling. AACL/IJCNLP (Findings) 2022: 308-318 - [i9]Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Eric Wang:
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions. CoRR abs/2203.12667 (2022) - [i8]Huajie Qian, Qingsong Wen, Liang Sun, Jing Gu, Qiulin Niu, Zhimin Tang:
RobustScaler: QoS-Aware Autoscaling for Complex Workloads. CoRR abs/2204.07197 (2022) - [i7]Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang:
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. CoRR abs/2208.13266 (2022) - 2021
- [j24]Jing Gu, Weifan Wang, Yiqiao Wang, Ying Wang:
Strict Neighbor-Distinguishing Index of Subcubic Graphs. Graphs Comb. 37(1): 355-368 (2021) - [j23]Xiaoli Tian, Zeshui Xu, Jing Gu, Francisco Herrera:
A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital. Inf. Sci. 562: 347-369 (2021) - [j22]Jing Gu, Ying Zheng, Xiaoli Tian, Zeshui Xu:
A decision-making framework based on prospect theory with probabilistic linguistic term sets. J. Oper. Res. Soc. 72(4): 879-888 (2021) - [j21]Xiangrong Zhang, Xiaoxiao Ma, Ning Huyan, Jing Gu, Xu Tang, Licheng Jiao:
Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 59(12): 10364-10377 (2021) - [c23]Jing Gu, Qingyang Wu, Zhou Yu:
Perception Score: A Learned Metric for Open-ended Text Generation Evaluation. AAAI 2021: 12902-12910 - [c22]Jing Gu, Qingyang Wu, Chongruo Wu, Weiyan Shi, Zhou Yu:
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation. ACL/IJCNLP (2) 2021: 305-313 - [c21]Mostafa Mirshekari, Jing Gu, Aaron Sisto:
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation. W-NUT 2021: 222-229 - [c20]Xiangrong Zhang, Shouping Shan, Jing Gu, Xu Tang, Licheng Jiao:
Multi-label Aerial Image Classification via Adjacency-Based Label and Feature Co-embedding. CICAI 2021: 384-395 - [c19]Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto:
ChainCQG: Flow-Aware Conversational Question Generation. EACL 2021: 2061-2070 - [i6]Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto:
ChainCQG: Flow-Aware Conversational Question Generation. CoRR abs/2102.02864 (2021) - 2020
- [j20]Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen:
Multi-Feature Weighted Sparse Graph for SAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(2): 881-891 (2020) - [c18]Jing Gu, Zhou Yu:
Data Annealing for Informal Language Understanding Tasks. EMNLP (Findings) 2020: 3153-3159 - [i5]Yong Yang, Long Wang, Jing Gu, Ying Li:
Transparently Capturing Request Execution Path for Anomaly Detection. CoRR abs/2001.07276 (2020) - [i4]Jing Gu, Zhou Yu:
Data Annealing for Informal Language Understanding Tasks. CoRR abs/2004.13833 (2020) - [i3]Jing Gu, Qingyang Wu, Chongruo Wu, Weiyan Shi, Zhou Yu:
A Tailored Pre-Training Model for Task-Oriented Dialog Generation. CoRR abs/2004.13835 (2020) - [i2]Jing Gu, Qingyang Wu, Zhou Yu:
Perception Score, A Learned Metric for Open-ended Text Generation Evaluation. CoRR abs/2008.03082 (2020) - [i1]Qingyang Wu, Zhenzhong Lan, Jing Gu, Zhou Yu:
Memformer: The Memory-Augmented Transformer. CoRR abs/2010.06891 (2020)
2010 – 2019
- 2019
- [j19]Xiaoli Tian, Zeshui Xu, Xinxin Wang, Jing Gu, Fawaz E. Alsaadi:
Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance. Int. J. Inf. Technol. Decis. Mak. 18(4): 1379-1402 (2019) - [j18]Xiaoli Tian, Zeshui Xu, Jing Gu:
An Extended TODIM Based on Cumulative Prospect Theory and Its Application in Venture Capital. Informatica 30(2): 413-429 (2019) - [c17]Lingnan He, Jing Gu, Dan Li, Kaisheng Lai:
Content Characteristics and Transmission Strategies of Social Media Rumors in China: Big Data Analysis of WeChat Rumors. BESC 2019: 1-5 - 2018
- [j17]Xiaoli Tian, Zeshui Xu, Jing Gu, Enrique Herrera-Viedma:
How to select a promising enterprise for venture capitalists with prospect theory under intuitionistic fuzzy circumstance? Appl. Soft Comput. 67: 756-763 (2018) - [j16]Xiang Cheng, Jing Gu, Zeshui Xu:
Venture capital group decision-making with interaction under probabilistic linguistic environment. Knowl. Based Syst. 140: 82-91 (2018) - [j15]Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang:
Random subspace based ensemble sparse representation. Pattern Recognit. 74: 544-555 (2018) - [j14]Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu:
Fuzzy Double C-Means Clustering Based on Sparse Self-Representation. IEEE Trans. Fuzzy Syst. 26(2): 612-626 (2018) - [c16]Jing Gu, Ying Li, Hongyan Tang, Zhonghai Wu:
Auto-Tuning Spark Configurations Based on Neural Network. ICC 2018: 1-6 - [c15]Yong Yang, Long Wang, Jing Gu, Ying Li:
Transparently Capturing Execution Path of Service/Job Request Processing. ICSOC 2018: 879-887 - [c14]Jing Gu, Shengbo Song, Ying Li, Hanmei Luo:
GaiaGPU: Sharing GPUs in Container Clouds. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 469-476 - [c13]Jing Gu, Long Wang, Yong Yang, Ying Li:
KEREP: Experience in Extracting Knowledge on Distributed System Behavior through Request Execution Path. ISSRE Workshops 2018: 30-35 - 2017
- [j13]Jing Gu, Xiongxing Xia, Yue He, Zeshui Xu:
An approach to evaluating the spontaneous and contagious credit risk for supply chain enterprises based on fuzzy preference relations. Comput. Ind. Eng. 106: 361-372 (2017) - [j12]Jing Gu, Licheng Jiao, Shuyuan Yang, Jiaqi Zhao:
Sparse learning based fuzzy c-means clustering. Knowl. Based Syst. 119: 113-125 (2017) - [j11]Zhiqiang Zhao, Licheng Jiao, Jiaqi Zhao, Jing Gu, Jin Zhao:
Discriminant deep belief network for high-resolution SAR image classification. Pattern Recognit. 61: 686-701 (2017) - [c12]Hongyan Tang, Ying Li, Long Wang, Jing Gu, Zhonghai Wu:
Predicting Misconfiguration-Induced Unsuccessful Executions of Jobs in Big Data System. COMPSAC (1) 2017: 772-777 - 2016
- [j10]Yue He, Zeshui Xu, Jing Gu:
An approach to group decision making with hesitant information and its application in credit risk evaluation of enterprises. Appl. Soft Comput. 43: 159-169 (2016) - [j9]Peijia Ren, Zeshui Xu, Jing Gu:
Assessments of the Effectiveness of an Earthquake Emergency Plan Implementation with Hesitant Analytic Hierarchy Process. Int. J. Inf. Technol. Decis. Mak. 15(6): 1367-1390 (2016) - [j8]Jing Gu, Licheng Jiao, Shuyuan Yang, Fang Liu, Biao Hou, Zhiqiang Zhao:
A Multi-kernel Joint Sparse Graph for SAR Image Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(3): 1265-1285 (2016) - 2015
- [j7]Jing Gu, Lu Li, Zeshui Xu, Hamido Fujita:
Construction of a technology adoption decision-making model and its extension to understanding herd behavior. Knowl. Based Syst. 89: 471-486 (2015) - [j6]Feng Xue, Cui Guoying, Richang Hong, Jing Gu:
Camouflage texture evaluation using a saliency map. Multim. Syst. 21(2): 169-175 (2015) - [c11]Wenying Fei, Jing Gu, Yang Yang, Zongfang Zhou:
Credit Risk Evaluation Based on Social Media. ITQM 2015: 725-731 - 2014
- [c10]Chao Wang, Jing Gu, Jacques M. B. Terken, Jun Hu:
Driver-to-Driver Communication on the Highway: What Drivers Want. AmI 2014: 315-327 - 2013
- [c9]Yu Zhang, Jing Gu, Jun Hu, Joep W. Frens, Mathias Funk, Kai Kang, Qi Dong, Yuanyuan Wang, Feng Wang, Matthias Rauterberg:
Learning from Traditional Dynamic Arts: Elements for Interaction Design. Culture and Computing 2013: 165-166 - [c8]Jing Gu, Yu Zhang, Jun Hu:
Lighting and Sound Installation for Elderly with Dementia. Culture and Computing 2013: 169-170 - [c7]Jing Gu, Hao Chen, Xian Zhang:
Influence of Psychological and Emotional Factors on the Venture Enterprise Value and the Investment Decision-Making. ITQM 2013: 919-929 - 2012
- [c6]Kuan Zheng, Yuanxing Zhao, Jing Gu, Qingmao Hu:
License plate detection using Haar-like features and histogram of oriented gradients. ISIE 2012: 1502-1505 - 2011
- [c5]Kangkang Zhang, Jianqiu Li, Minggao Ouyang, Jing Gu, Yan Ma:
Electric braking performance analysis of PMSM for electric vehicle applications. EMEIT 2011: 2596-2599 - [c4]Keigo Hirakawa, Jing Gu:
High resolution subpixel and subframe rendering for color flatpanel and projector displays. ICIP 2011: 1725-1728 - 2010
- [c3]Jing Gu, Patrick J. Wolfe, Keigo Hirakawa:
Filterbank-based universal demosaicking. ICIP 2010: 1981-1984
2000 – 2009
- 2009
- [c2]Jing Gu, Patrick J. Wolfe:
Super-Gaussian Loading for Robust Beamforming. GLOBECOM 2009: 1-6 - 2006
- [j5]Pawel Pyk, Sergi Bermúdez i Badia, Ulysses Bernardet, Philipp Knüsel, Mikael Carlsson, Jing Gu, Eric Chanie, Bill S. Hansson, Tim C. Pearce, Paul F. M. J. Verschure:
An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search. Auton. Robots 20(3): 197-213 (2006) - 2004
- [j4]Jing Gu, Jian Yang, Hao Zhang, Yingning Peng, Chao Wang, Hong Zhang:
Speckle filtering in polarimetric SAR data based on the subspace decomposition. IEEE Trans. Geosci. Remote. Sens. 42(8): 1635-1641 (2004) - [c1]Jing Gu, Lie Lu, Rui Cai, HongJiang Zhang, Jian Yang:
Dominant Feature Vectors Based Audio Similarity Measure. PCM (2) 2004: 890-897 - 2001
- [j3]Dianxun Shuai, Jing Gu, Huiping Gu, Zhidong Deng:
Hyper-Distributed Hyper-Parallel Self-Organizing Dynamic Scheduling Based on Solitary Wave. J. Comput. Sci. Technol. 16(5): 434-442 (2001) - 2000
- [j2]Jing Gu, Dianxun Shuai:
The Faster Higher-Order Cellular Automaton for Hyper-Parallel Undistorted Data Compression. J. Comput. Sci. Technol. 15(2): 126-135 (2000)
1990 – 1999
- 1999
- [j1]Jing Gu, Dianxun Shuai:
A new parallel-by-cell approach to undistorted data compression based on cellular automaton and genetic algorithm. J. Comput. Sci. Technol. 14(6): 572-579 (1999)
Coauthor Index
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